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Over the past two decades, an in silico absorption, distribution, metabolism, and excretion (ADMET) platform has been created at Bayer Pharma with the goal to generate models for a variety of pharmacokinetic and physicochemical endpoints in early drug discovery. These tools are accessible to all scientists within the company and can be a useful in assisting with the selection and design of novel leads, as well as the process of lead optimization. Here. we discuss the development of machine-learning (ML) approaches with special emphasis on data, descriptors, and algorithms. We show that high company internal data quality and tailored descriptors, as well as a thorough understanding of the experimental endpoints, are essential to the utility of our models. We discuss the recent impact of deep neural networks and show selected application examples.

Rogaratinib (BAY 1163877) is a highly potent and selective small-molecule pan-fibroblast growth factor receptor (FGFR) inhibitor (FGFR1-4) for oral application currently being investigated in phase 1 clinical trials for the treatment of cancer. In this publication, we report its discovery by de novo structure-based design and medicinal chemistry optimization together with its pharmacokinetic profile.

Herein, we report on the conjugation of trastuzumab with 2,5-difluorobenzene diazonium tetrafluoroborate. According to the amount of diazonium salt used, an average loading of 1.0 to 3.8 azo compounds per antibody was found. Tryptic digestion and subsequent MS–MS analyses allowed the identification of the main conjugation sites. Furthermore, additional conjugation reactions of trastuzumab with 4-formylbenzene diazonium hexafluorophosphate (FBDP) allows us to make a short study on the influence of the different reaction parameters on the outcome of the conjugation reaction, both in terms of antibody loading and of conjugation sites. In all cases, antibody conjugation was achieved with full selectivity towards tyrosine residues.

In a unique collaboration between a software company and a pharmaceutical company, we were able to develop a new in silico pKa prediction tool with outstanding prediction quality. An existing pKa prediction method from Simulations Plus based on artificial neural network ensembles (ANNE), microstates analysis, and literature data was retrained with a large homogeneous data set of drug-like molecules from Bayer. The new model was thus built with curated sets of ∼14,000 literature pKa values (∼11,000 compounds, representing literature chemical space) and ∼19,500 pKa values experimentally determined at Bayer Pharma (∼16,000 compounds, representing industry chemical space). Model validation was performed with several test sets consisting of a total of ∼31,000 new pKa values measured at Bayer. For the largest and most difficult test set with16,000 pKa values that were not used for training, the original model achieved a mean absolute error (MAE) of 0.72, root-mean-square error (RMSE) of 0.94, and squared correlation coefficient (R(2)) of 0.87. The new model achieves significantly improved prediction statistics, with MAE = 0.50, RMSE = 0.67, and R(2) = 0.93. It is commercially available as part of the Simulations Plus ADMET Predictor release 7.0. Good predictions are only of value when delivered effectively to those who can use them. The new pKa prediction model has been integrated into Pipeline Pilot and the PharmacophorInformatics (PIx) platform used by scientists at Bayer Pharma. Different output formats allow customized application by medicinal chemists, physical chemists, and computational chemists.

Targeting the vascular endothelial growth factor signaling axis in glioblastoma inevitably leads to tumor recurrence and a more aggressive phenotype. Therefore, other angiogenic pathways, like the angiopoietin/tunica interna endothelial cell kinase (TIE) signaling axis, have become additional targets for therapeutic intervention. Here, we explored whether targeting the receptor tyrosine kinase TIE-2 using a novel, highly potent, orally available small molecule TIE-2 inhibitor (BAY-826) improves tumor control in syngeneic mouse glioma models. BAY-826 inhibits TIE-2 phosphorylation in vitro and in vivo as demonstrated by suppression of Angiopoietin-1- or Na3 VO4 -induced TIE-2 phosphorylation in glioma cells or extracts of lungs from BAY-826-treated mice. There was a trend toward prolonged survival upon single-agent treatment in two of four models (SMA-497 and SMA-540) and there was a significant survival benefit in one model (SMA-560). Co-treatment with BAY-826 and irradiation was ineffective in one model (SMA-497), but provided synergistic prolongation of survival in another (SMA-560). Decreased vessel densities and increased leukocyte infiltration were observed, but might be independent processes as the effect was also observed in single treatment modalities. These data demonstrate that TIE-2 inhibition may improve tumor response to treatment in highly vascularized tumors such as glioblastoma.

CypScore is an in silico approach for predicting the likely sites of cytochrome P450-mediated metabolism of druglike organic molecules. It consists of multiple models for the most important P450 oxidation reactions such as aliphatic hydroxylation, N-dealkylation, O-dealkylation, aromatic hydroxylation, double-bond oxidation, N-oxidation, and S-oxidation. Each of these models is based on atomic reactivity descriptors derived from surface-based properties calculated with ParaSurf and based on AM1 semiempirical molecular orbital theory. The models were trained with data derived from Bayer Schering Pharma's in-house MajorMetabolite Database with more than 2300 transformations and more than 800 molecules collected from the primary literature. The models have been balanced to allow the treatment of relative intramolecular, intra-chemotype, and inter-chemotype reactivities of the labile sites toward oxidation. The models were evaluated with promising hit rates on three public datasets of varying quality in the annotation of the experimental positions. For 39 well-characterized compounds from 14 in-house lead optimization programs, we could detect at least one major metabolite for the three highest-ranked positions in 87 % of the compounds and overall more than 62 % of all major metabolites, with promising true- to false-positive ratios of 0.9.

Background and purpose: Rho-kinase (ROCK) has been implicated in the pathophysiology of altered vasoregulation leading to hypertension. Here we describe the pharmacological characterization of a potent, highly selective and orally active ROCK inhibitor, the derivative of a class of azaindoles, azaindole 1(6-chloro-N4-{3,5-difluoro-4-[(3-methyl-1H-pyrrolo[2,3-b]pyridin-4-yl)oxy]-phenyl}pyrimidine-2,4-diamine). Experimental approach: Pharmacological characterization of azaindole 1was performed with human recombinant ROCK in vitro. Vasodilator activity was determined using isolated vessels in vitro and different animal models in vivo. Key results: This compound inhibited the ROCK-1 and ROCK-2 isoenzymes with IC50 s of 0.6 and 1.1 nM in an ATP-competitive manner. Although ATP-competitive, azaindole 1was inactive against 89 kinases (IC50>10 μM) and showed only weak activity against an additional 21 different kinases (IC50=1 - 10 μM). Only the kinases TRK und FLT3 were inhibited by azaindole 1in the sub-micromolar range, albeit with IC50 values of 252 and 303 nM, respectively. In vivo, azaindole 1lowered blood pressure dose-dependently after i.v. administration in anaesthetized normotensive rats. In conscious normotensive and spontaneously hypertensive rats azaindole 1induced a dose-dependent decrease in blood pressure after oral administration without inducing a significant reflex increase in heart rate. In anaesthetized dogs, azaindole 1induced vasodilatation with a moderately elevated heart rate. Conclusions and implications: Azaindole 1is representative of a new class of selective and potent ROCK inhibitors and is a valuable tool for the elucidation of the role of ROCK in the cardiovascular system. British Journal of Pharmacology (2007) 152, 1070–1080; doi:10.1038/sj.bjp.0707484; published online 15 October 2007

The need for in silico characterization of HTS hit structures as part of a data-driven hit-selection process is demonstrated. A solution is described in the form of an in silico ADMET traffic light and PhysChem scoring system. This has been extensively validated with in-house data at Bayer, published data, and a collection of launched small-molecule oral drugs.

The number of cytotoxic payload classes with different modes-of-action which have been successfully employed in antibody-drug conjugates (ADC) is still rather limited. So far, only ADCs with microtubule inhibitors, DNA binding payloads or topoisomerase I inhibitors have been advanced into clinical testing. To this end, the identification of ADC payload classes with a novel mode of action will increase therapeutic options and potentially help to overcome resistance. Inhibitors of kinesin spindle protein (KSP/Eg5) have generated interest due to their high antitumor potency. However, transferring the preclinical potency of small molecule KSP inhibitors (KSPis) into highly efficient clinical regimens with a sufficient therapeutic window has remained challenging. We have investigated a new pyrrole subclass of KSPis which showed subnanomolar potency against a large panel of tumor cell lines for their utility as a novel payload class in ADCs. Towards this goal different attachment sites for linkers have been explored in the KSPi molecule which were found compatible with cleavable and/or non-cleavable linkers. Subnanomolar potency and selectivity of ADCs with antibodies targeting either HER2, EGFR or TWEAKR could be demonstrated in vitro. For selected ADCs, the intracellular trafficking and metabolite formation was investigated and KSP inhibition was confirmed as the ADC mode of action. Depending on the linker composition differential profiles of the ADC metabolites with regard to efflux, cellular permeation, and bystander effect have been achieved. Moreover, specific accumulation in the tumor versus other tissues was demonstrated in biodistribution studies in vivo. In conclusion, KSP inhibitors have been established as a versatile new payload class for the generation of highly potent and selective ADCs. Citation Format: Hans-Georg Lerchen, Sven Wittrock, Nils Griebenow, Mario Lobell, Anne-Sophie Rebstock, Yolanda Cancho-Grande, Beatrix Stelte-Ludwig, Christoph Mahlert, Simone Greven, Anette Sommer, Sandra Berndt, Carsten Terjung, Heiner Apeler, Bertolt Kreft, Rolf Jautelat. Development of potent and selective antibody-drug conjugates with pyrrole-based KSP inhibitors as novel payload class [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3234. doi:10.1158/1538-7445.AM2017-3234

Peptide deformylase (PDF) is an essential bacterial metalloenzyme which deformylates the N -formylmethionine of newly synthesized polypeptides and as such represents a novel target for antibacterial chemotherapy. To identify novel PDF inhibitors, we screened a metalloenzyme inhibitor library and identified an N -formyl-hydroxylamine derivative, BB-3497, and a related natural hydroxamic acid antibiotic, actinonin, as potent and selective inhibitors of PDF. To elucidate the interactions that contribute to the binding affinity of these inhibitors, we determined the crystal structures of BB-3497 and actinonin bound to Escherichia coli PDF at resolutions of 2.1 and 1.75 Å, respectively. In both complexes, the active-site metal atom was pentacoordinated by the side chains of Cys 90, His 132, and His 136 and the two oxygen atoms of N -formyl-hydroxylamine or hydroxamate. BB-3497 had activity against gram-positive bacteria, including methicillin-resistant Staphylococcus aureus and vancomycin-resistant Enterococcus faecalis , and activity against some gram-negative bacteria. Time-kill analysis showed that the mode of action of BB-3497 was primarily bacteriostatic. The mechanism of resistance was via mutations within the formyltransferase gene, as previously described for actinonin. While actinonin and its derivatives have not been used clinically because of their poor pharmacokinetic properties, BB-3497 was shown to be orally bioavailable. A single oral dose of BB-3497 given 1 h after intraperitoneal injection of S. aureus Smith or methicillin-resistant S. aureus protected mice from infection with median effective doses of 8 and 14 mg/kg of body weight, respectively. These data validate PDF as a novel target for the design of a new generation of antibacterial agents.

Tritiated glyoxylic acid was incubated with pyruvate decarboxylase. The hydroxymethylthiamine diphosphate formed was ozonolysed to give tritiated glycolic acid, the absolute configuration of which was investigated by analysis using glycolate oxidase. The tritiated glycolic acid proved to be racemic. The implications of this result are discussed in relation to models for the mechanism of pyruvate decarboxylase.

A mixture of proteases from Streptomyces griseus (pronase), displaying a very broad substrate tolerance in the hydrolysis of peptides, has been studied for the first time systematically regarding their substrate specificity in peptide synthesis. It is demonstrated that pronase can be employed successfully for the formation of dipeptides with yields up to 95%. Pronase has also been employed successfully as catalyst for the enzyme assisted synthesis of a hexapeptide.

Mass spectrometry has been used to investigate the natures of non-covalent complexes formed between the anti-inflammatory drug piroxicam and α-, β- and γ-cyclodextrins. Energies of these complexes have been calculated by means of molecular modelling. There is a correlation between peak intensities in the mass spectra and the calculated energies.

Pyruvate decarboxylase from Saccharomyces cerevisiae catalyses the formation of lactaldehyde from sodium glyoxylate and acetaldehyde. By using deuteriated sodium glyoxylate (sodium [2-2H]glyoxylate monohydrate) as a substrate it was verified that the lactaldehyde formed retains the deuterium atom. The implications of the observed result for the enzyme mechanism are discussed in the light of conclusions derived from recent molecular modelling studies.

Using crystal structure data for the pyruvate decarboxylase from Saccharomyces uvarum (which is nearly identical with the enzyme from Saccharomyces cerevisiae), molecular modeling studies have been carried out to investigate the mode of action of the enzyme. Each step of the decarboxylation mechanism can be explained by assuming that the 4‘-amino group of thiamin diphosphate (TDP) acts as a general acid and, in its deprotonated form, as a general base. The carboxyl group of Glu 477 plays a key role in both pyruvate decarboxylation and acyloin formation. In the first case it interacts with the carboxylate group of pyruvate to stabilize the incipient dianion formed by attack of the thiazolium carbanion on pyruvate. In the second case, it interacts with the developing alkoxide anion arising from attack on acetaldehyde or benzaldehyde by the carbanion−enamine intermediate. These studies have permitted the assignment of configuration to all of the key intermediates in the catalytic process. Thus the carbanion−...

Fibroblast growth factors (FGFs) orchestrate a variety of cellular functions by binding to their transmembrane tyrosine-kinase receptors (FGFR1-4) and activating downstream signaling pathways. Alterations in FGFR encoding genes are frequently observed in a variety of solid tumors including lung, gastric, breast and urothelial cancer. Therefore, targeting FGFRs using selective FGFR inhibitors is an attractive therapeutic approach to treat cancer patients. BAY 1163877 is an orally active, highly potent and selective small molecule FGFR-1, -2 and -3 kinase inhibitor. We disclose for the very first time its discovery and chemical structure. BAY 1163877 was derived from a de novo structure-based design approach and medicinal chemistry optimization. Data on the structure activity relationship and the pharmacokinetic profile of the benzothiophenyl-pyrrolotriazine structure class will be presented. Based on its favorable preclinical profile, BAY 1163877 is currently being investigated in a Phase 1 clinical trial (NCT01976741). Citation Format: Marie-Pierre L. Collin, Mario Lobell, Walter Huebsch, Dirk Brohm, Mélanie Héroult, Klemens Lustig, Sylvia Gruenewald, Ulf Boemer, Rolf Jautelat, Holger Hess-Stump, Stefan Jaroch, Michael Brands, Karl Ziegelbauer. Discovery of BAY 1163877 - A pan-FGFR inhibitor: De novo structure-based design and lead optimization of benzothiophenyl-pyrrolotriazines. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4332.

The lipase catalyzed formation of lactones is greatly facilitated, if the conditions of irreversible acyltransfer are employed. While only insignificant amounts of lactones are obtained from hydroxy carboxylic acids (±)- 1a–f or their methyl esters (±)- 2a–f , considerable yields can be obtained, if the corresponding vinyl esters (±)- 3a–f are used as substrates. Due to the enantioselectivities, displayed by the lipase from Pseudomonas sp ., optically active products are formed.

The use of the chiral derivatization reagent 2,3,4,6-tetra- O -benzoyl-β- d -glucopyranosyl isothiocyanate (BGIT) is described for the conversion of a variety of amino acids and β-adrenergic blockers into diastereomeric thioureas, which can be separated on achiral RP-18 HPLC columns. In comparison with the established reagent 2,3,4,6-tetra- O -acetyl-β- d -glucopyranosyl isothiocyanate (AGIT), BGIT shows increased sensitivity owing to the higher molar absorptivity on the BGIT derivatives. Also a series of monosubstituted alkyloxiranes was transformed with 2-propylamine into the corresponding amino alcohols, which were then further reacted with BGIT, 2,3,4,6-tetra- O -pivaloyl-β- d -galactopyranosyl isothiocyanate (PGIT) or AGIT, leading to the corresponding thiourea derivatives. The diastereomers derived from BGIT could be separated with excellent resolution on a standard RP-18 column, whereas the PGIT and AGIT derivatives showed less or no resolution.

The lipase catalyzed formation of lactones is greatly facilitated, if the conditions of irreversible acyltransfer are employed. While only insignificant amounts of lactones are obtained from hydroxy carboxylic acids (±)- 1a–f or their methyl esters (±)- 2a–f , considerable yields can be obtained, if the corresponding vinyl esters (±)- 3a–f are used as substrates. Due to the enantioselectivities, displayed by the lipase from Pseudomonas sp ., optically active products are formed.

The conversion of hydroxycarboxylic acids with primary or secondary hydroxy functions into the corresponding vinyl esters was successfully achieved under basic conditions in presence of vinyl acetate and palladium(II) acetate as catalyst. Side reactions, which were previously frequently interfering with these transformations, have been studied and reaction conditions optimised to reach maximum product yield

Recombinant pyruvate decarboxylase from Zymomonas mobilis catalysed the formation of R-aromatic acyloins of high optical purity from aromatic aldehydes and either pyruvate or acetaldehyde. The results are contrasted with those obtained with aliphatic acyloins and compared with those obtained with the pyruvate decarboxylase of Saccharomyces sp.

Rho kinase plays a pivotal role in several cellular processes such as vasoregulation, making it a suitable target for the treatment of hypertension and related disorders. We discovered a new compound class of Rho kinase (ROCK) inhibitors containing a 7-azaindole hinge-binding scaffold tethered to an aminopyrimidine core. Herein we describe the structure-activity relationships elucidated through biochemical and functional assays. The introduction of suitable substituents at the 3-position of the bicyclic moiety led to an increase in activity, which was required to design compounds with favorable pharmacokinetic profile. Azaindole 32 was identified as a highly selective and orally available ROCK inhibitor able to cause a sustained blood pressure reduction in vivo.

Drug-like and lead-like hits derived from HTS campaigns provide good starting points for lead optimization. However, too strong emphasis on potency as hit-selection parameter might hamper the success of such projects. A detailed absorption, distribution, metabolism, excretion and toxicology (ADME-Tox) profiling is needed to help identify hits with a minimum number of (known) liabilities. This is particularly true for drug-like hits. Herein, we describe how to break down large numbers of screening hits and we provide a comprehensive overview of the strengths and weaknesses for each structural class. The overall profile (e.g. ligand efficiency, selectivity and ADME-Tox) is the distinctive feature that will define the priority for follow-up.

We have investigated whether three important ADME (absorption, distribution, metabolism, excretion) related properties (aqueous solubility, human plasma protein binding, and human volume of distribution at steady-state) can be predicted from chemical structure alone if only the predicted predominant ionisation state and lipophilicity (calculated logP [P = octanol-water partition coefficient]) are considered. A simple, fast method for the in silico prediction of aqueous solubility of predominantly uncharged compounds has been developed, while some potential is shown for the prediction of predominantly charged or zwitterionic compounds. Ten other known in silico prediction methods for aqueous solubility have also been evaluated. It has furthermore been demonstrated that the molecular weight (MW) profile of training sets for the development of aqueous solubility prediction methods can influence their predictive performance with regard to test sets of either matching or diverging profiles. The same property descriptors which have been found most relevant for the prediction of aqueous solubility have also proved useful for the prediction of human plasma protein binding and human volume of distribution at steady-state.

The conversion of hydroxycarboxylic acids with primary or secondary hydroxy functions into the corresponding vinyl esters was successfully achieved under basic conditions in presence of vinyl acetate and palladium(II) acetate as catalyst. Side reactions, which were previously frequently interfering with these transformations, have been studied and reaction conditions optimised to reach maximum product yield

The receptor tyrosine kinase Tie2 is predominantly expressed in the endothelium but has also been identified on primitive hematopoietic stem cells, monocyte and macrophage subclasses, as well as on glioma or hematological tumor cells. Based on its expression in many patient-derived leukemic blasts inhibition of the Tie2 pathway may provide an attractive opportunity for therapeutic intervention in leukemias. In this study we report the pharmacological profile of a novel, highly potent and orally available Tie2 inhibitor (BAY-Tie2). The discovery and design process leading to BAY-Tie2 was performed with the goal of sparing other angiogenic RTKs, such as VEGFRs, FGFRs or PDGFRs. BAY-Tie2 is based on a novel imidazopyrazole core, combined with a SF5-substituted phenyl ring that fills the deep DFG-out pocket. BAY-Tie2 binds to Tie2 with a Kd value of 1.6 nM and is selective against VEGFR2 (Kd of 1600 nM), FGFR1 ( In subcutaneous xenograft models of highly angiogenic tumors, BAY-Tie2 reduced tumor growth and showed evidence for potential combination benefit with anti-VEGF therapy. In order to explore the potential of a Tie2 inhibitor beyond affecting angiogenesis, we established disseminated leukemia models, using Tie2-expressing cell lines, such as the CML cell lines MEG-01 and EM-2. Both cell lines engrafted predominantly in bone marrow and spleen. Treatment started 3 days after i.v. cell implantation with either BAY-Tie2 or cytarabine and was well tolerated. Efficacy was monitored by a) inhibition of disease progression, b) weekly fluorescence-based in vivo imaging (IVI) using an Alexa750-labeled anti-human CD33 antibody, and c) q-RT-PCR specific for BCR-ABL and hCD45 in murine peripheral blood. BAY-Tie2 inhibited disease progression comparable to cytarabine. Tumor load measured by IVI was reduced in BAY-Tie2 treated groups by 45% in the MEG-01 and by 65% in the EM-2 model compared with the untreated control, very similar to the cytotoxic treatment with cytarabine. Quantitative RT-PCR on peripheral blood revealed that BAY-Tie2 and cytarabine delayed the appearance of circulating tumor cells in both CML models. These data demonstrate that BAY-Tie2 is an orally active Tie2 inhibitor that may have therapeutic benefit not only in angiogenic tumors but also in hematological, Tie2-expressing malignancies. Citation Format: Sylvia Gruenewald, Julia Schueler, Michael Haerter, Frank Suessmeier, Kerstin Klingner, Ulf Boemer, Stefan Kaulfuss, Alexander Walter, Mario Lobell, Ingo V. Hartung, Bernd Buchmann, Dieter Heldmann, Holger Hess-Stumpp, Karl Ziegelbauer. Novel Tie2 inhibitor with in vivo efficacy in disseminated hematological tumor models in mice. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 1026. doi:10.1158/1538-7445.AM2014-1026

Fibroblast growth factors (FGFs) orchestrate a variety of cellular functions by binding to their transmembrane tyrosine-kinase receptors (FGFR1-4) and activating downstream signaling pathways. FGF signaling has been demonstrated to be altered in a high proportion of cancers, with activating mutations and/or overexpression of FGFRs frequently observed in lung, gastric, breast and urothelial tumors. Therefore, targeting FGFRs using selective FGFR inhibitors is an attractive therapeutic approach to treat cancer patients. BAY 1163877 is as an orally available, selective and potent inhibitor of FGFR-1, -2 and -3 kinase activity. BAY 1163877 has been advanced through preclinical development and we disclose here the first details of its preclinical profile. BAY 1163877 inhibited FGFR-1, -2, -3 kinase activity in the nanomolar range and demonstrated a kinase selectivity profile for FGFR-1, -2 and -3 over 222 kinases tested. BAY 1163877 inhibited proliferation of various cancer cell lines in vitro and phosphorylation of downstream signaling molecules. BAY 1163877 was also tested in vivo in monotherapy and combination therapy on various human xenografts and syngeneic tumors and inhibited growth of tumors presenting at least one FGFR alteration.Overall, the in vitro and in vivo studies confirm that the FGFR inhibitor BAY 1163877 is a potent and selective inhibitor of altered FGFRs pathways in cancer models. A Phase 1 clinical trial (NCT01976741) has been initiated. Citation Format: Melanie Heroult, Peter Ellinghaus, Christian Sieg, Dirk Brohm, Sylvia Gruenewald, Marie-Pierre Collin, Ulf Boemer, Mario Lobell, Walter Huebsch, Matthias Ocker, Stuart Ince, Andrea Haegebarth, Rolf Jautelat, Holger Hess-Stumpp, Michael Brands, Karl Ziegelbauer. Preclinical profile of BAY 1163877 - a selective pan-FGFR inhibitor in phase 1 clinical trial. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 1739. doi:10.1158/1538-7445.AM2014-1739

Recombinant pyruvate decarboxylase from Zymomonas mobilis catalysed the formation of R-aromatic acyloins of high optical purity from aromatic aldehydes and either pyruvate or acetaldehyde. The results are contrasted with those obtained with aliphatic acyloins and compared with those obtained with the pyruvate decarboxylase of Saccharomyces sp.

Porcine liver esterase (PLE)-catalysed hydrolyses of alkanedicarboxylic esters MeO2C-(CH2)n-CO2Me lead exclusively to pure monoesters if n⩽ 7. Suprisingly, the yeilds are dramatically dependent on the chain length and drop sharply to zero for n 8. Using the active site model for PLE an interpretation of these surprising observations is attempted.